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Active1mo ago

GTM Engineer - Marketing

Clay Labs·📍 New York, United States

Employment

FULL TIME

Work mode

Remote

Experience

SENIOR LEVEL

Salary

$150K – $220K/yr

Pay vs market · Top quarter

This job's pay ($185,000 a year at the midpoint) is higher than about 75% of 17 salary-listed GTM Engineer jobs in New York in the last 12 months; their median is $170,000.

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Role overview

Job description

About Clay AI is unleashing the biggest wave of company creation in history. Clay's mission is to be the engine those companies use to grow to their full potential. Clay predicts the next best action for your business and then helps you take it. We started by aggregating the best data for B2B companies. Then, we built the infrastructure to run any personalized campaign on top of it, including emails, ads, landing pages, and workflows that make reps more productive. Now, we're building agents that can help grow your company for you. We're already helping thousands of customers — including Anthropic, OpenAI, Google, and Visa — go to market with unique data, signals, and AI research. In 2026, we raised a $115M Series D at $7.1B Valuation led by Wellington — and are on track to cross $200M in revenue this quarter. We also launched a $1M Scholarship fund for GTME Education. Some things to know about us: Our community includes 17,000+ customers, 200+ integration partners, 125+ agencies, 50+ Clay clubs , and 30k members on Slack. Our culture is unique inside and outside of work. Our team members are also DJs, activists, writers, clowns, marathoners, skydivers, psychedelic therapists, social workers, and more. All employees can work with world-class coaches who specialize in creativity, management, and more. Our operating principles — including negative maintenance and non-attached action — guide our work. Read more about them here . Read about us in the NYT , Forbes , First Round Review , and more . Hear from our employees directly on our Glassdoor page! GTM Engineer - Marketing @ Clay We're looking for someone to focus on elevating our top-of-funnel workflows; building automations that generate demand, qualify it faster, and surface which accounts are actually in-market. You'll sit at the intersection of GTM Engineering and the Marketing org, partnering closely with our Demand Gen, Lifecycle, and SDR teams to turn prospect and account data into proactive, measurable action. Strong candidates will be builders with a strong understanding of the marketing org motion: how demand gen, lifecycle, campaign, and SDR teams operate and what data they need to be effective. You will operate with high agency but ground yourself in what your stakeholders need to be successful. What You'll Do Build and own top-of-funnel workflow automations like lead and account scoring, intent and buying-signal detection, inbound enrichment and routing, speed-to-lead triggers, and proactive outbound plays off marketing signal Partner closely with Demand Gen, Lifecycle Marketing, and SDR leadership to translate business needs into automation requirements and iterate based on feedback Own the instrumentation behind MQL definitions and the marketing funnel; build the insight layer that answers what converts, where leads stall, which sources and campaigns produce real pipeline, and whether our qualification criteria still hold Build the connective tissue between Marketing and SDRs; lead lifecycle and handoff logic, routing and assignment rules, follow-up SLAs, and the feedback loop that tells marketing which leads were actually worth working Build tooling that surfaces the right account and prospect context for SDRs at the right moment; before first touch, during inbound follow-up, and ahead of campaign and event pushes Push the limits of Clay and extend our platform into new use cases, feed our product team innovative ideas, dogfood new features and; act as a practitioner evangelist of Clay infrastructure and GTM Engineering Partner deeply with GTM leaders and frontline teams to understand how our demand motion works today and where it breaks Own projects end-to-end, from discovery and prototyping through rollout, adoption, and iteration; identify opportunities to automate, augment, or redesign workflows using AI, data, and better systems design Design systems that improve speed, visibility, data quality, and execution across the funnel; connect systems through APIs, webhooks, integrations, and automation layers so information moves cleanly across the stack Measure performance, adoption, and business impact of what you build, then improve it over time Act as an internal thought partner on the future of AI-native GTM systems What You’ll Bring At least 6-10 years working in a combination of Marketing Ops, RevOps, GTM Engineering or other similar applied technical discipline At least 3 years in Marketing Ops/Demand Gen Ops or GTM Engineering or equivalent Experience building, developing or connecting core systems like Salesforce and adjacent GTM systems including hands on experience with marketing automation and inbound tooling such as HubSpot, Marketo, Customer.io , or Braze, and intent/enrichment layers such as 6sense, Demandbase, Clearbit, or Common Room Fluency with the mechanics of the marketing funnel; lead lifecycle design, scoring models, routing logic, attribution, deliverability and database health, and funnel conversion and velocity metrics Proven ability to build and problem solve with methods incorporating Python, JavaScript, SQL, or TypeScript; we pull our own data on this team Track record of deploying and building AI-powered internal tools, automations, or agentic workflows Experience using data warehouses, BI tools, or event-driven systems Executive presence -- you communicate concisely and confidently even about technical topics with non technical people while simultaneously communicating business requirements to technical audiences Proven ability to operate effectively in ambiguous and fluid hypergrowth environments -- you not only embrace change but drive it Experience building in Clay as a primary workflow or enrichment layer is not required but is highly preferred (successful candidates with no experience in Clay will show increasing proficiency throughout the interview process) Bonus points for experience in analytics engineering, data science and /or programming languages

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About this listing

  • Source: Clay Labs's official careers site · still listed there on 11 Nov 2026
  • Posted 12 Oct 2026

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What they are looking for

Skills & requirements

Department · Revenue Platform

Hiring company

Clay Labs

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